← Authors

Nan Yang

51 papers · 2012–2026 · 16 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (16) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (10) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (25) πŸ—ƒοΈ Keyword Collector (195) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (48) πŸ”₯ Unstoppable (14) ❓ The Questioner

Conferences

ACL (15) AAAI (8) EMNLP (7) CVPR (4) ICLR (3) CORL (2) NAACL (2) NIPS (2) COLING (1) EACL (1) ECCV (1) ICML (1) IJCAI (1) IJCNLP (1) JMLR (1) WACV (1)

Top co-authors

Furu Wei (25) Ming Zhou (14) Liang Wang (12) Daniel Cremers (7) Wenhui Wang (6) Mu Li (6) Li Dong (5) Linjun Yang (4) Dongdong Zhang (3) Yu Wang (3)

Keywords

attention mechanism (5) question answering (5) language model (5) knowledge distillation (5) large language model (5) contrastive learning (4) information retrieval (4) neural network (3) machine reading comprehension (3) depth estimation (3) dense retrieval (3) self-supervised learning (3) synthetic data generation (3) dense passage retrieval (3) multi-view stereo (2) 3d reconstruction (2) generative retrieval (2) federated learning (2) text embedding (2) visual odometry (2)

Papers

Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning AAAI 2026
Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning AAAI 2026
Generative Representational Instruction Tuning ICLR 2025
mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data ACL 2025
Sonata: Self-Supervised Learning of Reliable Point Representations CVPR 2025
SMamba: Sparse Mamba for Event-based Object Detection AAAI 2025
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning AAAI 2025
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG EMNLP 2025
Little Giants: Synthesizing High-Quality Embedding Data at Scale NAACL 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning EMNLP 2025
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability ICLR 2025
Learning to Retrieve In-Context Examples for Large Language Models EACL 2024
Learning to Rank in Generative Retrieval AAAI 2024
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions WACV 2024
Pygmtools: A Python Graph Matching Toolkit JMLR 2024
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training ICLR 2024
Improving Text Embeddings with Large Language Models ACL 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024
Query2doc: Query Expansion with Large Language Models EMNLP 2023
Multiview Identifiers Enhanced Generative Retrieval ACL 2023
Behind the Scenes: Density Fields for Single View Reconstruction CVPR 2023
Combining Adversaries with Anti-adversaries in Training AAAI 2023
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval ACL 2023
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset EMNLP 2022
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL 2021
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo CORL 2021
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera CVPR 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering IJCNLP 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering ACL 2021
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry CVPR 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers NIPS 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training ICML 2020
Unified Language Model Pre-training for Natural Language Understanding and Generation NIPS 2019
Read + Verify: Machine Reading Comprehension with Unanswerable Questions AAAI 2019
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light CORL 2019
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension EMNLP 2019
Attention-Guided Answer Distillation for Machine Reading Comprehension EMNLP 2018
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry ECCV 2018
Neural Document Summarization by Jointly Learning to Score and Select Sentences ACL 2018
Selective Encoding for Abstractive Sentence Summarization ACL 2017
Sequence-to-Dependency Neural Machine Translation ACL 2017
Gated Self-Matching Networks for Reading Comprehension and Question Answering ACL 2017
Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation COLING 2016
Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation IJCAI 2015
A Recursive Recurrent Neural Network for Statistical Machine Translation ACL 2014
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification ACL 2014
Word Alignment Modeling with Context Dependent Deep Neural Network ACL 2013
Easy-First POS Tagging and Dependency Parsing with Beam Search ACL 2013
Punctuation Prediction with Transition-based Parsing ACL 2013
A Ranking-based Approach to Word Reordering for Statistical Machine Translation ACL 2012